自由体操动作和跳马动作功能筛选与动作技巧评估的关系

Sandra Jovanović, Adriana Ljubojević, Violeta Novaković
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摘要

本研究的目的是验证FMS(功能运动筛选)方法作为预测成功的体操元素在自由体操和跳马,选择样本组成的36名20 - 22岁的男性受试者,巴尼亚卢卡大学体育与运动学院的学生。对11项运动技能测试进行了评估:7项是自由体操(侧对侧和前后侧翻、翻筋斗、前后翻筋斗、前后翻筋斗、前后翻筋斗),4项是跳马(深蹲到跳马和跨立腾空前、跳马前翻筋斗、前后翻筋斗)以及FMS结果。所有结果都服从正态分布,FMS平均值相对较低(14.313),根据许多作者的说法,这接近受伤风险的极限(14)。总体相关分析结果显示,FMS与变量PRENAZ(0.049)、SALNAZ(0.038)之间的相关性具有统计学意义,显著性水平为0.05;应用回归分析显示,预测模型总体信息与预测变量FMS之间的相关性为0.03,显著性水平为0.05。观察决定系数R2的取值,确定FMS方法可以作为一个整体模型预测所选体操运动员在自由体操和跳马动作中的表现,用一个准则解释了96%左右的共同变异性,具有显著的统计值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE RELATION BETWEEN ESTIMATED MOTOR SKILLS WITH FUNCTIONAL MOVEMENT SCREENING AND PERFORMANCE OF GYMNASTIC ELEMENTS ON THE FLOOR ROUTINE AND THE VAULT
The aim of this research was to verify the FMS (Functional Movement Screening) method as apredictor of success in performing gymnastic elements on the floor routine and vault, on aselected sample composed of 36 male subjects aged 20 - 22 years, students of Faculty ofPhysical Education and Sport, University of Banja Luka. A battery of 11 motor skills tests wasassessed: 7 at floor routine (side-to-side and front-to-back cartwheel, roundoff, front and backhandspring, forward and backward flip) and 4 on vault (squat through on the vault and straddlevault with pre-flight, front handspring on vault, roundoff vault) together with FMS resultsall results received normal distribution and a relatively low average FMS value(14.313), which according to many authors is near the limit of the risk of injury (14). The overallresults of the correlation analysis indicated statistically significant relationship between FMSand variables PRENAZ (0.049) and SALNAZ (0.038) at significance level of0.05, while the applied regression analysis gave general information on the prediction modelthat showed statistical significance of 0.03 with the predictor variable FMS at the level of significance0.05. Observing the values of the determination coefficients R2, it was establishedthat the FMS method can predict the performance of the selected gymnastic elements on thefloor routine and the vault as an integral model, explaining about 96% of the common variabilitywith a criterion, representing a significant statistical value.
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